Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao
{"title":"基于小波包- ar模型谱技术的特种车辆车轮系统故障诊断研究","authors":"Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao","doi":"10.1109/ICICTA.2015.201","DOIUrl":null,"url":null,"abstract":"Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique\",\"authors\":\"Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao\",\"doi\":\"10.1109/ICICTA.2015.201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique
Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.